Afrimed-QA, a collection of contextually relevant datasets for evaluation of LLMs on African health question answering tasks, developed in partnership with organizations across Africa.
Large language models (LLMs) have shown potential for medical and health question answering across various health-related tests spanning different formats and sources, such as multiple choice and short answer exam questions (e.g., USMLE MedQA), summarization, and clinical note taking, among others. Especially in low-resource settings, LLMs can potentially serve as valuable decision-support tools, enhancing clinical diagnostic accuracy and accessibility, and providing multilingual clinical decision support and health training, all of which are especially valuable at the community level.
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